Geographic range size patterns across plants and animals of Xinjiang, China

被引:0
|
作者
LiPing Li [1 ]
ChunYan Zhang [1 ]
Eimear Nic Lughadha [2 ]
Tarciso C.C.Le?o [2 ]
Kate Hardwick [2 ]
YaoMin Zheng [3 ]
HuaWei Wan [4 ]
Ming Ma [5 ]
Nurbay Abudusalih [6 ]
Ying Hai [7 ]
Zhen Pu [8 ]
JiangShan Lai [9 ]
ZhanFeng Shen [1 ]
Li Liu [1 ]
Tuo Wang [1 ]
YangMing Jiang [1 ]
HuiHui Zhao [1 ]
QingJie Liu [1 ]
机构
[1] Aerospace Information Research Institute, Chinese Academy of Sciences
[2] Royal Botanic Gardens Kew
[3] School of International Economics and Management, Beijing Technology and Business University
[4] Satellite Environmental Application Center of Ministry of Ecology and Environment
[5] Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences
[6] Key Laboratory of Oasis Ecology of Ministry of Education, College of Resources and Environmental Sciences, Xinjiang University
[7] Department of Geology, Xinjiang Normal University
[8] School of Ecology and Nature Conservation, Beijing Forestry University
[9] State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences
基金
中国国家自然科学基金;
关键词
D O I
暂无
中图分类号
P942 [中国自然地理]; P237 [测绘遥感技术];
学科分类号
0705 ; 070501 ; 1404 ;
摘要
Patterns in species geographic range size are relatively well-known for vertebrates, but still poorly known for plants. Contrasts of these patterns between groups have rarely been investigated. With a detailed flora and fauna distribution database of Xinjiang, China, we used regression methods, redundancy analysis and random forests to explore the relationship of environment and body size with the geographic range size of plants, mammals and birds in Xinjiang and contrast these patterns between plants and animals. We found positive correlations between species range size and body size. The range size of plants was more influenced by water variables, while that of mammals and birds was largely influenced by temperature variables. The productivity variable, i. e., Enhanced Vegetation Index(EVI) was far more correlated with range size than climatic variables for both plants and animals, suggesting that vegetation productivity inferred from remote sensing data may be a good predictor of species range size for both plants and animals.
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页码:54 / 67
页数:14
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